Attelia: Sensing user's attention status on smart phones

Tadashi Okoshi, Jin Nakazawa, Hideyuki Tokuda

研究成果: Conference contribution

15 被引用数 (Scopus)

抄録

In progressing ubiquitous computing where number of devices, applications and the web services are everincreasing, human user's attention is a new bottleneck in computing. This paper proposes Attelia, a novel middleware that senses user's attention status on user'ssmart phones in real-time, without any dedicated psycho-physiological sensors. To find better delivery timings of interruptive notifications from various applications and services to mobile users, Attelia detects breakpoint[16] of user's activity on the smart phones, with our novel "Application as a Sensor"(AsaS) approach and machine learning technique. Our initial evaluation of Attelia shows it can detect breakpoints of users with accuracy of 80 - 90%.

本文言語English
ホスト出版物のタイトルUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
出版社Association for Computing Machinery, Inc
ページ139-142
ページ数4
ISBN(電子版)9781450330473
DOI
出版ステータスPublished - 2014 1 1
イベント2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
継続期間: 2014 9 132014 9 17

出版物シリーズ

名前UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
CountryUnited States
CitySeattle
Period14/9/1314/9/17

ASJC Scopus subject areas

  • Software

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引用スタイル